Clinical review of substitutions or alternatives for critical chemotherapy drug shortages in hematologic malignancies.

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: Over the past decade, drug shortages have become increasingly more problematic for clinicians, with over 300 drug shortages reported in the first quarter of 2023. Shortages of chemotherapy drugs can have a negative impact on patient care, as omission or delay of treatment can lead to worse outcomes. Although many articles have been published on this topic, currently no review articles discuss strategies for using alternative regimens or substitutions in the event of severe chemotherapy drug shortages. SUMMARY: In this article, we review the literature on antineoplastic agents used to treat hematologic malignancies that experienced a drug shortage from 2010 through 2023, providing recommendations for substitutions and alternative regimens in the event of a critical shortage. In particular, we discuss how shortages of fludarabine, cytarabine, daunorubicin, methotrexate, and platinum agents may be addressed, including supporting clinical evidence. CONCLUSION: Further publications assessing possible alternatives and substitutions for chemotherapy agents and examining the efficacy of previous strategies are needed to mitigate potentially devastating interruptions to care for patients with cancer during severe drug shortages.

Correction: Novel aerosol treatment of airway hyper-reactivity and inflammation in a murine model of asthma with a soluble epoxide hydrolase inhibitor.

[This corrects the article DOI: 10.1371/journal.pone.0266608.].

Adapting the Zero Suicide framework to the adult emergency department setting: Strategies for nurse leaders.

The ED has been increasingly recognized as a key setting for suicide prevention. Zero Suicide (ZS) is an aspirational goal to eliminate suicide for all patients within a health care system through utilization of best practices. However, there has been limited exploration of ZS implementation within the ED. As ED nurses play an important role in suicide prevention through their close contact with patients at risk for suicide, ZS implementation would benefit from tailored strategies for ED nurse leadership. We describe the ZS framework and provides strategies for nurse leaders to adapt each ZS component in the adult ED.

Robot-assisted deep brain stimulation of the centromedian nucleus of the thalamus for generalized epilepsy: targeting and operative video.

The centromedian (CM) nucleus of the thalamus is a promising target for a range of brain diseases including drug-resistant generalized and multifocal epilepsy. CM is highly connected to cortical and subcortical regions including frontoparietal/sensorimotor cortex, striatum, brainstem, and cerebellum, which are involved in some generalized epilepsy syndromes like Lennox-Gastaut syndrome (LGS). In this video, the authors describe their methodology for targeting CM for deep brain stimulation (DBS). Delineation of an optimal and consistent target will expand the efficacy of neuromodulation of CM in intractable epilepsy. The video can be found here: https://stream.cadmore.media/r10.3171/2024.4.FOCVID245.

Systematic Review-Role of MRI in Cervical Cancer Staging.

A systematic review of the diagnostic accuracy of MRI in the staging of cervical cancer was conducted based on the literature from the last 5 years. A literature search was performed in the Cochrane Library, EMBASE, MEDLINE and PubMed databases using the MeSH terms "cervical cancer", "MRI" and "neoplasm staging". A total of 110 studies were identified, of which 8 fit the inclusion criteria. MRI showed adequate accuracy (74-95%) and high sensitivity (92-100%) in assessing stromal invasion. The data for MRI in terms of assessing vaginal and pelvic side wall involvement were wide ranging and inconclusive. In assessing lymph node metastasis, MRI showed an adequate accuracy (73-90%), specificity (75-91%) and NPV (71-96%) but poor sensitivity (52-75%) and PPV (52-75%). MRI showed high accuracy (95%), sensitivity (78-96%), specificity (87-94%), and NPV (98-100%) but poor PPV (27-42%) in detecting bladder involvement. There was a paucity of data on the use of MRI in assessing rectal involvement in cervical cancer. Overall, the literature was heterogenous in the definitions and language used, which reduced the comparability between articles. More research is required into the diagnostic accuracy of MRI in the staging of cervical cancer and there must be increased consistency in the definitions and language used in the literature.

Case Report: Low-grade glioma with NF1 loss of function mimicking diffuse intrinsic pontine glioma.

Intrinsic, expansile pontine tumors typically occur in the pediatric population. These tumors characteristically present as diffuse intrinsic pontine glioma (DIPG), which is now considered as diffuse midline glioma (DMG), H3K27-mutated of the pons. DIPG has limited treatment options and a poor prognosis, and the value of tissue diagnosis from an invasive biopsy remains controversial. This study presents the case of a 19-year-old female with clinical and imaging hallmarks of DIPG, who underwent a biopsy of a tumor in the region of the right middle cerebellar peduncle. Her lesional cells were negative for H3K27M alterations and had low-grade histologic features. Next-generation sequencing revealed a frameshift mutation in the NF1 gene as the likely driver mutation. These features suggest a diagnosis of a low-grade glioma associated with NF1 loss of function, with far-reaching consequences regarding both treatment strategy and prognosis. This case provides support for the utility of diagnostic tissue biopsy in cases of suspected DIPG.

The Case for Neurosurgical Intervention in Cancer Neuroscience.

The emerging field of cancer neuroscience reshapes our understanding of the intricate relationship between the nervous system and cancer biology; this new paradigm is likely to fundamentally change and advance neuro-oncological care. The profound interplay between cancers and the nervous system is reciprocal: Cancer growth can be induced and regulated by the nervous system; conversely, tumors can themselves alter the nervous system. Such crosstalk between cancer cells and the nervous system is evident in both the peripheral and central nervous systems. Recent advances have uncovered numerous direct neuron-cancer interactions at glioma-neuronal synapses, paracrine mechanisms within the tumor microenvironment, and indirect neuroimmune interactions. Neurosurgeons have historically played a central role in neuro-oncological care, and as the field of cancer neuroscience is becoming increasingly established, the role of neurosurgical intervention is becoming clearer. Examples include peripheral denervation procedures, delineation of neuron-glioma networks, development of neuroprostheses, neuromodulatory procedures, and advanced local delivery systems. The present review seeks to highlight key cancer neuroscience mechanisms with neurosurgical implications and outline the future role of neurosurgical intervention in cancer neuroscience.

County Characteristics and Veteran Suicide in the United States, 2011-2018.

INTRODUCTION: Few studies have examined county-level hotspots of veteran suicide and associated place-based contributors, limiting development of targeted community-level prevention strategies. The objectives of this national spatial analysis of all veteran suicides were to identify areas of the United States with higher-than-expected veteran suicide rates and determine county-level social and economic characteristics associated with areas of higher risk. METHODS: Using Bayesian hierarchical modeling, county-level standardized mortality ratios for veteran suicide deaths were estimated for time periods 2011-2018, 2011-2014, and 2015-2018. Adjusted relative risk, accounting for community characteristics, for each county was then estimated and associations between community characteristics and veteran suicide risk were examined. Analyses were conducted in 2023-2024. RESULTS: Risk of veteran suicide is predominantly concentrated in the Mountain West and West. Significant predictors of risk across all time periods were per capita number of firearm retailers (2011-2018 relative risk [RR]=1.065 [95% credible interval [CI] 1.030-1.102]), the proportion of residents who moved in the past year (2011-2018 RR=1.060 [95% CI 1.039-1.081]), the proportion of residents who live alone (2011-2018 RR=1.067 [95% CI 1.046-1.089]), the proportion of residents in rental housing (2011-2018 RR=1.041 [95% CI 1.018-1.065]), and the proportion of married residents (2011-2018 RR=0.915 [95% CI 0.890-0.941]). CONCLUSIONS: This study contributes to a comprehensive public health approach to veteran suicide prevention by identifying where resources are needed most, and which place-based intervention targets have the largest potential for impact. Findings suggest that public health efforts to address suicide among veterans should address community-level firearm access and identify ways to alleviate deleterious effects of social fragmentation.

Septic arthritis of the cervical facet joint: Clinical report and review of the literature.

BACKGROUND: Facet joint septic arthritis (FJSA) is an uncommon cause of neck pain, most frequently occurring in the lumbosacral spine. Cervical facet joint septic arthritis is particularly rare. Symptoms typically include spinal or paraspinal pain and tenderness, with severe infections potentially causing neurological impairments. This condition can progress to discitis and osteomyelitis. High clinical suspicion is required for accurate diagnosis and timely treatment. OBJECTIVE: To present the first known case of cervical spine FJSA caused by Moraxella species and provide an updated narrative review of cervical spine FJSA. METHODS: A case study of a 66-year-old male with cervical spine FJSA caused by Moraxella osloensis is detailed. Additionally, a librarian-assisted literature search was conducted on MEDLINE Pubmed, filtering for adult human trials and including various study types, resulting in the inclusion of 9 relevant manuscripts. RESULTS: The patient's symptoms included neck, right upper thoracic, and periscapular pain, with episodes of numbness and tingling. MRI revealed septic arthritis at the C7-T1 facet joint and associated osteomyelitis. Cultures identified Moraxella osloensis as the causative agent. The patient was successfully treated with antibiotics and experienced significant symptom improvement. Literature review highlights that Staphylococcus aureus is the most common causative agent of cervical FJSA, with diagnosis typically involving MRI and culture tests. Treatment generally includes long-term antibiotics, with some cases requiring surgical intervention. CONCLUSIONS: This report underscores the need for high clinical suspicion in diagnosing FJSA and highlights the importance of early intervention. It documents the first known case of cervical spine FJSA caused by Moraxella osloensis, contributing valuable information to the limited literature on this rare condition.

Chemoresistance to additive PARP/PI3K dual inhibition in triple-negative breast cancer cell lines is associated with adaptive stem cell-like prevalence.

Cancer stem-like cells (CSCs) are posited to exhibit specialized oncogenic capacity to drive malignancies. CSCs are distinguished by enhanced hallmarks of cancer, including apoptosis avoidance, phenotypic plasticity and aberrant growth pathway signaling. Standard-of-care chemotherapies targeted to rapidly cycling cells routinely fail to eliminate this resistant subpopulation, leading to disease recurrence and metastasis. Triple-negative breast cancer (TNBC), a highly aggressive subtype of breast cancer, is enriched for tumor-propagating CD44+/CD24-/low CSCs, which are poorly ablated by chemotherapeutics and are associated with poor prognosis. CD44 governs sustained PI3K signaling in breast cancer, which is essential for CSC maintenance. PI3K inhibition can elicit DNA damage and down-regulate BRCA1 expression, which in turn enhance the synthetic lethality of PARP inhibitors. Here, we examined a dual chemotherapeutic approach targeting these pathways by combining a pan-PI3K inhibitor (Buparlisib) and a PARP1 inhibitor (Olaparib) on a panel of TNBC cell lines with distinct mutational profiles and proportions of CSCs. We observed differential sensitivity to this dual inhibition strategy and varying cellular stress and resistance responses across eight TNBC lines. The dual chemotherapeutic effect is associated with a reduction in S-phase cells, an increased in apoptotic cells and elevated expression of cleaved PARP, indicating a provoked replicative stress response. We observed that PARP/PI3K inhibition efficacy was potentiated by repeated administration in some TNBC lines and identified critical treatment schedules, which further potentiated the dual chemotherapeutic effect. Dual inhibition induced small but significant increases in CSC relative abundance as marked by CD44+/CD24-/low or ALDH1+ cells and increased stress and survival signaling in multiple TNBC cell lines, suggesting this sub-population contributes to TNBC chemoresistance. These results suggest the additive effects of PARP and PI3K inhibition against CSC phenotypes may be enhanced by temporally-staged administration in TNBC cells.

Structure-Dependent Water Responsiveness of Protein Block Copolymers.

Biological water-responsive (WR) materials are abundant in nature, and they are used as mechanical actuators for seed dispersal by many plants such as wheat awns and pinecones. WR biomaterials are of interest for applications as high-energy actuators, which can be useful in soft robotics or for capturing energy from natural water evaporation. Recent work on WR silk proteins has shown that ß-sheet nanocrystalline domains with high stiffness correlate with the high WR actuation energy density, but the fundamental mechanisms to drive water responsiveness in proteins remain poorly understood. Here, we design, synthesize, and study protein block copolymers consisting of two α-helical domains derived from cartilage oligomeric matrix protein coiled-coil (C) flanking an elastin-like peptide domain (E), namely, CEC. We use these protein materials to create WR actuators with energy densities that outperform mammalian muscle. To elucidate the effect of structure on WR actuation, CEC was compared to a variant, CECL44A, in which a point mutation disrupts the α-helical structure of the C domain. Surprisingly, CECL44A outperformed CEC, showing higher energy density and less susceptibility to degradation after repeated cycling. We show that CECL44A exhibits a higher degree of intermolecular interactions and is stiffer than CEC at high relative humidity (RH), allowing for less energy dissipation during water responsiveness. These results suggest that strong intermolecular interactions and the resulting, relatively steady protein structure are important for water responsiveness.

Toxicities associated with tyrosine kinase inhibitor maintenance following allogeneic hematopoietic cell transplantation in Philadelphia chromosome-positive acute lymphoblastic leukemia.

Allogeneic hematopoietic cell transplantation (HCT) offers a potential cure in Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukemia (ALL); nonetheless, relapses are common and the major cause of mortality. One strategy to prevent relapse is tyrosine kinase inhibitor (TKI) maintenance post-HCT, but published clinical experience is primarily with the first-generation TKI imatinib while data with newer generation TKIs are limited. We conducted a retrospective analysis of 185 Ph+ ALL patients who underwent HCT followed by TKI maintenance from 2003 to 2021 at City of Hope. Initially, 50 (27.0%) received imatinib, 118 (63.8%) received a second-generation TKI (2G-TKI), and 17 (9.2%) received ponatinib. A total of 77 patients (41.6%) required a dose reduction of their initial TKI due to toxicity. Sixty-six patients (35.7%) did not complete maintenance due to toxicity; 69 patients (37.3%) discontinued 1 TKI, and 11 (5.9%) discontinued 2 TKIs due to toxicity. Initial imatinib versus 2G-TKI versus ponatinib maintenance was discontinued in 19 (38.0%) versus 68 (57.6%) versus 3 (17.6%) patients due to toxicity (p = .003), respectively. Patients on ponatinib as their initial TKI had a longer duration of TKI maintenance versus 2G-TKI: 576.0 days (range, 72-921) versus 254.5 days (range, 3-2740; p = .02). The most common reasons for initial TKI discontinuation include gastrointestinal (GI) intolerance (15.1%), cytopenia (8.6%), and fluid retention (3.8%). The 5-year overall survival and progression-free survival for the total population were 78% and 71%, respectively. Our findings demonstrate the challenges of delivering post-HCT TKI maintenance in a large real-world cohort as toxicities leading to TKI interruptions, discontinuation, and dose reduction were common.

Outcomes following allogeneic hematopoietic cell transplantation relapse in Philadelphia chromosome-positive acute lymphoblastic leukemia.

Improved first progression-free survival following allogeneic hematopoietic cell transplantation relapse with the use of immunotherapy.

Enhancing cryo-EM structure prediction with DeepTracer and AlphaFold2 integration.

Understanding the protein structures is invaluable in various biomedical applications, such as vaccine development. Protein structure model building from experimental electron density maps is a time-consuming and labor-intensive task. To address the challenge, machine learning approaches have been proposed to automate this process. Currently, the majority of the experimental maps in the database lack atomic resolution features, making it challenging for machine learning-based methods to precisely determine protein structures from cryogenic electron microscopy density maps. On the other hand, protein structure prediction methods, such as AlphaFold2, leverage evolutionary information from protein sequences and have recently achieved groundbreaking accuracy. However, these methods often require manual refinement, which is labor intensive and time consuming. In this study, we present DeepTracer-Refine, an automated method that refines AlphaFold predicted structures by aligning them to DeepTracers modeled structure. Our method was evaluated on 39 multi-domain proteins and we improved the average residue coverage from 78.2 to 90.0% and average local Distance Difference Test score from 0.67 to 0.71. We also compared DeepTracer-Refine with Phenixs AlphaFold refinement and demonstrated that our method not only performs better when the initial AlphaFold model is less precise but also surpasses Phenix in run-time performance.

Ecological drift during colonization drives within-host and between-host heterogeneity in an animal-associated symbiont.

Specialized host-microbe symbioses canonically show greater diversity than expected from simple models, both at the population level and within individual hosts. To understand how this heterogeneity arises, we utilize the squash bug, Anasa tristis, and its bacterial symbionts in the genus Caballeronia. We modulate symbiont bottleneck size and inoculum composition during colonization to demonstrate the significance of ecological drift, the noisy fluctuations in community composition due to demographic stochasticity. Consistent with predictions from the neutral theory of biodiversity, we found that ecological drift alone can account for heterogeneity in symbiont community composition between hosts, even when 2 strains are nearly genetically identical. When acting on competing strains, ecological drift can maintain symbiont genetic diversity among different hosts by stochastically determining the dominant strain within each host. Finally, ecological drift mediates heterogeneity in isogenic symbiont populations even within a single host, along a consistent gradient running the anterior-posterior axis of the symbiotic organ. Our results demonstrate that symbiont population structure across scales does not necessarily require host-mediated selection, as it can emerge as a result of ecological drift acting on both isogenic and unrelated competitors. Our findings illuminate the processes that might affect symbiont transmission, coinfection, and population structure in nature, which can drive the evolution of host-microbe symbioses and microbe-microbe interactions within host-associated microbiomes.

Impact of SARS-CoV-2 Infection on Long-Term Depression Symptoms among Veterans.

BACKGROUND: Prior research demonstrates that SARS-COV-2 infection can be associated with a broad range of mental health outcomes including depression symptoms. Veterans, in particular, may be at elevated risk of increased depression following SARS-COV-2 infection given their high rates of pre-existing mental and physical health comorbidities. However, few studies have tried to isolate SARS-COV-2 infection associations with long term, patient-reported depression symptoms from other factors (e.g., physical health comorbidities, pandemic-related stress). OBJECTIVE: To evaluate the association between SARS-COV-2 infection and subsequent depression symptoms among United States Military Veterans. DESIGN: Survey-based non-randomized cohort study with matched comparators. PARTICIPANTS: A matched-dyadic sample from a larger, stratified random sample of participants with and without known to SARS-COV-2 infection were invited to participate in a survey evaluating mental health and wellness 18-months after their index infection date. Sampled participants were stratified by infection severity of the participant infected with SARS-COV-2 (hospitalized or not) and by month of index date. A total of 186 participants in each group agreed to participate in the survey and had sufficient data for inclusion in analyses. Those in the uninfected group who were later infected were excluded from analyses. MAIN MEASURES: Participants were administered the Patient Health Questionnaire-9 as part of a phone interview survey. Demographics, physical and mental health comorbidities were extracted from VHA administrative data. KEY RESULTS: Veterans infected with SARS-COV-2 had significantly higher depression symptoms scores compared with those uninfected. In particular, psychological symptoms (e.g., low mood, suicidal ideation) scores were elevated relative to the comparator group (MInfected = 3.16, 95%CI: 2.5, 3.8; MUninfected = 1.96, 95%CI: 1.4, 2.5). Findings were similar regardless of history of depression. CONCLUSION: SARS-COV-2 infection was associated with more depression symptoms among Veterans at 18-months post-infection. Routine evaluation of depression symptoms over time following SARS-COV-2 infection is important to facilitate adequate assessment and treatment.

Computational Design of Phosphotriesterase Improves V-Agent Degradation Efficiency.

Organophosphates (OPs) are a class of neurotoxic acetylcholinesterase inhibitors including widely used pesticides as well as nerve agents such as VX and VR. Current treatment of these toxins relies on reactivating acetylcholinesterase, which remains ineffective. Enzymatic scavengers are of interest for their ability to degrade OPs systemically before they reach their target. Here we describe a library of computationally designed variants of phosphotriesterase (PTE), an enzyme that is known to break down OPs. The mutations G208D, F104A, K77A, A80V, H254G, and I274N broadly improve catalytic efficiency of VX and VR hydrolysis without impacting the structure of the enzyme. The mutation I106 A improves catalysis of VR and L271E abolishes activity, likely due to disruptions of PTE's structure. This study elucidates the importance of these residues and contributes to the design of enzymatic OP scavengers with improved efficiency.

Precise and Rapid Whole-Head Segmentation from Magnetic Resonance Images of Older Adults using Deep Learning.

Whole-head segmentation from Magnetic Resonance Images (MRI) establishes the foundation for individualized computational models using finite element method (FEM). This foundation paves the path for computer-aided solutions in fields, particularly in non-invasive brain stimulation. Most current automatic head segmentation tools are developed using healthy young adults. Thus, they may neglect the older population that is more prone to age-related structural decline such as brain atrophy. In this work, we present a new deep learning method called GRACE, which stands for General, Rapid, And Comprehensive whole-hEad tissue segmentation. GRACE is trained and validated on a novel dataset that consists of 177 manually corrected MR-derived reference segmentations that have undergone meticulous manual review. Each T1-weighted MRI volume is segmented into 11 tissue types, including white matter, grey matter, eyes, cerebrospinal fluid, air, blood vessel, cancellous bone, cortical bone, skin, fat, and muscle. To the best of our knowledge, this work contains the largest manually corrected dataset to date in terms of number of MRIs and segmented tissues. GRACE outperforms five freely available software tools and a traditional 3D U-Net on a five-tissue segmentation task. On this task, GRACE achieves an average Hausdorff Distance of 0.21, which exceeds the runner-up at an average Hausdorff Distance of 0.36. GRACE can segment a whole-head MRI in about 3 seconds, while the fastest software tool takes about 3 minutes. In summary, GRACE segments a spectrum of tissue types from older adults T1-MRI scans at favorable accuracy and speed. The trained GRACE model is optimized on older adult heads to enable high-precision modeling in age-related brain disorders. To support open science, the GRACE code and trained weights are made available online and open to the research community at https://github.com/lab-smile/GRACE.

Psychotherapist perceptions of engagement-building behaviours with youth clients across developmental levels.

Building a positive therapeutic relationship is a challenging, yet critical, first step in conducting youth psychotherapy. A number of studies in the youth treatment literature have indicated that a positive therapeutic alliance is related to increased treatment attendance, participation, and outcome. Some research has examined therapist behaviours for engaging therapy clients; however, developmental differences in alliance formation have had limited exploration. The current study surveyed clinicians about their use of specific engagement strategies and the developmental stage of their youth clients. It was hypothesised that participants would differentially rate the importance of different aspects of therapeutic engagement based upon a youth client's developmental stage and that these would correspond with differences in specific engagement strategies. A total of 64 clinicians with experience treating youth completed the study. The participants completed a questionnaire administered online that asked them to rate the importance of developmental differences to forming a therapeutic relationship and provide example client behaviours from their clinical experience for each developmental stage. Results showed clinicians felt the relative importance of collaboration, advocacy, and trustworthiness increased with age. These differences were also evidenced in the specific strategies clinicians endorsed in relation to each engagement factor across developmental stages. This program of research will eventually aid in the development of new guidelines for engaging clients in youth psychotherapy. In addition, the results may be used to enhance psychotherapy training for those working with children and adolescents.